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终末期肾病治疗选择模型对肾脏移植等待名单增加的早期影响。

Early Effects of the ESRD Treatment Choices Model on Kidney Transplant Waitlist Additions.

作者信息

Potluri Vishnu S, Reddy Yuvaram N V, Tummalapalli Sri Lekha, Peng Chen, Huang Qian, Zhao Yueming, Kanter Genevieve P, Zhu Jingsan, Liao Joshua M, Navathe Amol S

机构信息

Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.

出版信息

Clin J Am Soc Nephrol. 2025 Jan 1;20(1):124-135. doi: 10.2215/CJN.0000000000000571. Epub 2024 Oct 16.

Abstract

KEY POINTS

The ESRD Treatment Choices model did not lead to an increase in kidney transplant waitlisting. The COVID-19 pandemic had a substantial impact on kidney transplant waitlist additions. Financial incentives alone, in the short term, did not lead to a substantial effect on kidney transplant waitlisting practices.

BACKGROUND

Despite the mortality benefit of kidney transplantation over dialysis, only 13% of patients with ESKD are on the transplant waitlist. Given the low rates of transplant waitlisting in the United States, Medicare launched the ESRD Treatment Choices (ETC) model in 2021, the largest mandatory trial of payment incentives in kidney disease, which randomized 30% of health care markets to financial bonuses/penalties to improve kidney transplantation and home dialysis use. This study examines the effect of ETC payment adjustments on US kidney transplant waitlist additions.

METHODS

Using data from the Organ Procurement and Transplantation Network registry, we examined kidney transplant waitlisting trends between January 1, 2017, and June 30, 2022. Participants were divided into intervention and control arms of the ETC model. Using an interrupted time series design, we compared slope changes in waitlist additions after ETC model implementation (implementation date: January 01, 2021) between the two arms, while accounting for differential changes during the coronavirus disease 2019 pandemic. Results were stratified by race and ethnicity (White, Black, Hispanic, and other). To examine balance between the two ETC arms, we conducted supplementary analyses using United States Renal Data System and Medicare data.

RESULTS

After implementation of the ETC model, there were 5550 waitlist additions in the intervention arm and 11,332 additions in the control arm (versus 14,023 and 30,610 additions before the ETC model). After ETC model implementation, there were no significant differences in kidney transplant waitlist additions between the two arms for the overall cohort (slope difference 6.9 new listings/mo; 95% confidence interval [CI], −7.4 to 21.1) or among White (slope difference 2.6/mo; 95% CI, −3.0 to 8.1), Black (slope difference 2.2/mo; 95% CI, −4.3 to 8.7), or Hispanic (slope difference 0.2/mo; 95% CI, −4.5 to 4.9) patients.

CONCLUSIONS

In the 18 months after implementation, the ETC model was not associated with significant changes in new kidney transplant waitlist additions.

摘要

要点

终末期肾病治疗选择(ESRD Treatment Choices)模型并未导致肾脏移植等待名单增加。2019冠状病毒病疫情对肾脏移植等待名单的增加产生了重大影响。仅短期的经济激励措施并未对肾脏移植等待名单的登记做法产生重大影响。

背景

尽管肾脏移植相对于透析具有死亡率方面的益处,但只有13%的终末期肾病患者在移植等待名单上。鉴于美国的移植等待名单登记率较低,医疗保险于2021年推出了终末期肾病治疗选择(ETC)模型,这是肾病领域最大的强制性支付激励试验,将30%的医疗市场随机分配接受经济奖励/惩罚,以促进肾脏移植和家庭透析的使用。本研究考察了ETC支付调整对美国肾脏移植等待名单增加情况的影响。

方法

利用器官获取与移植网络登记处的数据,我们研究了2017年1月1日至2022年6月30日期间肾脏移植等待名单的趋势。参与者被分为ETC模型的干预组和对照组。采用中断时间序列设计,我们比较了ETC模型实施后(实施日期:2021年1月1日)两组之间等待名单增加情况的斜率变化,同时考虑了2019冠状病毒病疫情期间的差异变化。结果按种族和族裔(白人、黑人、西班牙裔和其他)进行分层。为了检验ETC两组之间的平衡性,我们使用美国肾脏数据系统和医疗保险数据进行了补充分析。

结果

ETC模型实施后,干预组有5550人加入等待名单,对照组有11332人加入(而在ETC模型实施前分别为14023人和30610人)。ETC模型实施后,总体队列中两组之间在肾脏移植等待名单增加人数方面没有显著差异(斜率差异为每月新增6.9个登记;95%置信区间[CI],-7.4至21.1),白人(斜率差异为每月2.6个;95%CI,-3.0至8.1)、黑人(斜率差异为每月2.2个;95%CI,-4.3至8.7)或西班牙裔(斜率差异为每月0.2个;95%CI,-4.5至4.9)患者中也是如此。

结论

在实施后的18个月里,ETC模型与新的肾脏移植等待名单增加人数的显著变化无关。

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